This page hosts learning materials for USDA ARS SEA statistics and data science trainings created by SEA area statistician Quentin Read.

**For USDA personnel only**: to access video recordings of previous training sessions, please visit the SEA Statistics Training page on USDA Axon intranet.

Instructions for installing R, RStudio, and R packages

Follow these instructions before starting any of the lessons if you do not have R and RStudio installed on your laptop.

Two one-hour lessons on basic R programming for complete beginners (Lessons 1 and 2 in a six-lesson series).

*Taught in hybrid format in Raleigh, NC, December 8-9, 2022, and in person in Fayetteville, AR, January 9, 2023, and Booneville, AR, January 12, 2023.*

Full-text version | Slides | Worksheets |
---|---|---|

Lesson 1: R Boot Camp: the very basics |
Slides | Worksheet |

Lesson 2: R Boot Camp: working with data frames |
Slides | Worksheet |

- Zip file including all worksheets for lessons 1-6
- GitHub repository with source code of course materials

Four one-hour lessons on fitting simple linear mixed models in R (Lessons 3-6 in a six-lesson series).

*Taught in hybrid format in Raleigh, NC, December 8-9, 2022.*

- Zip file including all worksheets for lessons 1-6
- GitHub repository with source code of course materials

One-hour session introducing students to visualizing data with R and ggplot2.

*Taught in Fayetteville, AR, January 10, 2023*

- Text version of lesson
- Slides version of lesson
- GitHub repository with source code of course materials

Two-hour session introducing students to Bayesian inference, and showing how to fit some simple Bayesian mixed models with brms.

*Taught in Fayetteville, AR, January 10, 2023 (updated February 02, 2023).*

- Instructions for installing and configuring brms (do this before starting the course)
- Text version of lesson
- Slides version of lesson
- GitHub repository with source code of course materials
- Source code for version taught in Fayetteville, January 10, 2023

Two-hour session showing basic data processing and model fitting procedures in R and SAS side-by-side.

*Will be taught in Athens, GA, February 2023.*

- Text version of lesson
- Slides version of lesson
- Worksheet (.R script)
- GitHub repository with source code of course materials

I compiled a list of my favorite learning resources, including materials on R programming and mixed models, for a recent stats workshop. I expect to add more material to this list in the future; please check back soon for updates!

- Course homepage from two-day workshop including “R Boot Camp” and “A Practical Toolkit for Mixed Models in R” including links to text version of lesson, slides, worksheets, and example datasets

*This page last updated by QDR on 2023-02-02. This page’s contents were created by the author and do not reflect official USDA policy.*